Mr Renoh Johnson Chalakkal

M.Tech Signal Processing

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Doctoral Candidate - Doctor of Philosophy


Mr. Renoh Johnson Chalakkal completed his Bachelor of Technology degree from University of Calicut, India with a First Class Distinction in 2010. He completed his Master of Technology degree in Signal Processing from Mahatma Gandhi University, India in 2012 with Distinction. He worked as an Assistant Professor in  India from 2012-2015 prior to joining the University of Auckland in 2015 to pursue his PhD degree in the ECE department. The interview with Renoh Johnson Chalakkal featured by Education New Zealand can be viewed using the link:

Interview with Education New Zealand

His areas of interest are image processing and transform analysis.

He is also featured as a blogger on the Education New Zealand website. The links to his articles can be found below:

Research | Current

Renoh is currently working on retinal image processing in order to develop a low cost automatic screening system which could help to diagnose diabetic retinopathy with much less effort and cost.

Supervisor: Dr. Waleed Abdulla 

Scholarship: New Zealand International Doctoral Research Scholarship (NZIDRS)

Teaching | Current

Graduate Teaching Assistant at University of Auckland



Carry out research in Retinal Image Processing using various transforms and compare the performance.

Areas of expertise

Image Processing,Transform Analysis, Digital Signal Processing

Committees/Professional groups/Services

  • IEEE Member
  • ISTE Member

Selected publications and creative works (Research Outputs)

  • Chalakkal, R. J., & Abdulla, W. (2017). Automatic segmentation of retinal vasculature. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing Proceedings, 886-890. New Orleans, USA: IEEE. 10.1109/ICASSP.2017.7952283
    Other University of Auckland co-authors: Waleed Abdulla
  • Padmagireeshan, S. J., Johnson, R. C., Balakrishnan, A. A., Paul, V., Pillai, A. V., & Abdul Raheem, A. (2013). Performance analysis of magnetic resonance image denoising using contourlet transform. Proceedings - 2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013, 396-399. Kochi, India: IEEE. 10.1109/ICACC.2013.84
  • Chalakkal, R. J., Paul, V., N N, & S J, P. (2013). Comparison of Curvelet Generation 1 and Curvelet Generation 2 Transforms for Retinal Image Analysis. International Journal of Electrical and Computer Engineering, 3 (3), 366-371. 10.11591/ijece.v3i3.2451
  • Johnson, R. C. (2013). Detection and localization of texts from natural scene images using scale space and morphological operations. Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2013, 880-885. India: IEEE. 10.1109/ICCPCT.2013.6528865
  • Johnson, R. C., Padmagireesan, S. J., Raheem, A., & Pillai, A. V. (2012). Comparison of curvelet and contourlet transforms for retinal analysis. 2012 Annual IEEE India Conference, INDICON 2012, 1214-1217. Kochi, India: IEEE. 10.1109/INDCON.2012.6420803